Results 41 to 50 of about 1,434,136 (298)
Modeling the correlations of crude oil properties based on sensitivity based linear learning method [PDF]
This paper presented a new prediction model of pressure–volume–temperature (PVT) properties of crudeoil systems using sensitivity based linear learning method (SBLLM). PVT properties are very important in the reservoir engineering computations.
Abdul Raheemb, Abdul Azeez +3 more
core +1 more source
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source
Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction.
Julia Höhn +16 more
doaj +1 more source
Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. [PDF]
Background and objectiveEarly detection methods for pancreatic cancer are lacking. We aimed to develop a prediction model for pancreatic cancer based on changes in health captured by healthcare claims data.MethodsWe conducted a case-control study on 29 ...
Baecker, Aileen +8 more
core +2 more sources
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
With the application of intelligent technology in the medical field, patient rehabilitation training is gradually developing towards intelligence. Aiming at the lower limb rehabilitation robots, a lower limb gait curve prediction model based on nonlinear
Yanli Xing, Weiwei Jiao
doaj +1 more source
IntroductionCentral lymph node metastasis (CLNM) is common in papillary thyroid carcinoma (PTC). Prophylactic central lymph node dissection (PCLND) in clinically negative central compartment lymph node (cN0) PTC patients is still controversial.
Feng Zhao +7 more
doaj +1 more source
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Functional mixed effects wavelet estimation for spectra of replicated time series
Motivated by spectral analysis of replicated brain signal time series, we propose a functional mixed effects approach to model replicate-specific spectral densities as random curves varying about a deterministic population-mean spectrum.
Chau, Joris, von Sachs, Rainer
core +1 more source
Cost curve evaluation of fault prediction models [PDF]
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consensus on the methodology to select the “best model” for the specific project.
Bojan Cukic, Tim Menzies, Yue Jiang
core +1 more source

